Artificial neural networks to predict aerodynamic coefficients of transport airplanes - Secco, Ney Rafael; Mattos, Bento Silva de (Aircraft engineering, 2017)
Keywords: Accuracy; Aerodynamic coefficients; Aerodynamics; Aeronautics; Aircraft; Airframes; Artificial neural networks; Back propagation; Back propagation networks; Bias; Codes; Computational fluid dynamics; Computing time; Configurations; Design optimization; Drag coefficients; Dynamic structural analysis; Errors; Fluid dynamics; Formulations; Fuselages; Geometry; Loads (forces); Methodology; Methods; Neural networks; Neurons; Predictions; Regression analysis; Reynolds number; Software; Structural analysis; Subsonic aircraft; Subsonic flow; Applied aerodynamics; Aircraft design; Full potential codes; Artificial neural network; Computational fluid dynamics; Multi-disciplinary design and optimization